The hardware and bandwidth for this mirror is donated by METANET, the Webhosting and Full Service-Cloud Provider.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]metanet.ch.

HQM: Superefficient Estimation of Future Conditional Hazards Based on Marker Information

Provides a nonparametric smoothed kernel density estimator for the future conditional hazard when time-dependent covariates are present. It also provides pointwise and uniform confidence bands and a bandwidth selection.

Version: 0.1.0
Depends: R (≥ 3.5.0)
Imports: stats, utils
Published: 2022-09-12
Author: Alex Isakson [aut, cre], Dimitrios Bagkavos [ctb], Enno Mammen [ctb], Jens Nielsen [ctb], Cecile Proust-Lima [ctb]
Maintainer: Alex Isakson <alex.isakson at bayes.city.ac.uk>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
CRAN checks: HQM results

Documentation:

Reference manual: HQM.pdf

Downloads:

Package source: HQM_0.1.0.tar.gz
Windows binaries: r-devel: HQM_0.1.0.zip, r-release: HQM_0.1.0.zip, r-oldrel: HQM_0.1.0.zip
macOS binaries: r-release (arm64): HQM_0.1.0.tgz, r-oldrel (arm64): HQM_0.1.0.tgz, r-release (x86_64): HQM_0.1.0.tgz, r-oldrel (x86_64): HQM_0.1.0.tgz

Linking:

Please use the canonical form https://CRAN.R-project.org/package=HQM to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.